Manager, Autonomy Applications Engineering (R4154) at Shield AI

Dallas, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Defense, Robotics, Autonomy, AerospaceIndustries

Requirements

Experience developing software for mobile robot / autonomy applications
Experience in the defense aviation or robotics industry
Strong fundamentals in Robotics/Autonomy
1+ year of experience building and running a 5–7-person software applications/solutions engineering team
Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience

Responsibilities

Serve as the functional team lead for a team of customer facing applications engineers
Guide, mentor, and develop a team of applications engineers to provide expert support and troubleshooting for customers
Manage, prioritize and delegate customer issues
Support BD in pre-sales and post-sales activities as a technical resource
Ensure timely and effective technical assistance, troubleshooting, and onboarding support for customers implementing the SDK
Maintain a deep understanding of the SDK’s features, updates, and use cases to guide the team and assist customers
Oversee and contribute to the creation and continuous improvement of technical resources, such as user guides, FAQs, and knowledge bases
Act as an escalation point for complex customer issues and provide hands-on support when necessary
Coordinate closely with product development, sales, and customer success teams to ensure customer feedback informs SDK improvements and new features
Act as a liaison between customers and internal teams to advocate for customer needs and communicate product updates
Develop and grow your teammates through mentorship and training
Set performance goals, conduct regular evaluations, and foster a collaborative team environment
Develop and refine support processes to improve team efficiency, customer satisfaction, and response times
Track and report on key metrics related to customer engagement, issue resolution, and team performance to stakeholders
Conduct travel (~30%) to other Shield AI and customer sites for demos, meetings, etc

Skills

Key technologies and capabilities for this role

SDKAutonomyRoboticsApplications EngineeringTroubleshootingTeam LeadershipMentoringCustomer SupportPre-salesPost-salesTechnical DocumentationProduct Feedback

Questions & Answers

Common questions about this position

What experience is required for the Manager, Autonomy Applications Engineering role?

Candidates need experience developing software for mobile robot/autonomy applications, experience in the defense aviation or robotics industry, strong fundamentals in Robotics/Autonomy, and 1+ year building and running a 5–7-person software applications/solutions engineering team. Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD.

Is travel required in this position?

Yes, the role involves approximately 30% travel to other Shield AI and customer sites for demos, meetings, etc.

What is the salary or compensation for this role?

This information is not specified in the job description.

What team leadership responsibilities does this role involve?

You'll serve as the functional team lead for a team of 5-7 customer-facing applications engineers, guiding, mentoring, and developing them, setting performance goals, conducting evaluations, and fostering a collaborative team environment.

What makes a strong candidate for this position?

A strong candidate has direct experience leading a small software applications engineering team in robotics or autonomy, deep technical knowledge in mobile robot software development, and a background in the defense aviation or robotics industry.

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters

2015Year Founded

$772.8MTotal Funding

DEBTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors

Risks

Increased competition from companies like Waymo could divert investment from Shield AI.

Geopolitical tensions may challenge the JSW Defence partnership for V-BAT production in India.

Dependency on Palantir's infrastructure may limit Shield AI's operational flexibility.

Differentiation

Shield AI's Hivemind is the first autonomous AI pilot deployed in combat since 2018.

Strategic partnerships with Palantir and JSW Defence enhance technological capabilities and market reach.

Shield AI's V-BAT drone is selected for a $198 million U.S. Coast Guard contract.

Upsides

Increased demand for autonomous systems in defense boosts Shield AI's market potential.

Successful multi-aircraft autonomous flight tests showcase advanced AI piloting capabilities.

Significant investment in robotics indicates a robust market for Shield AI's offerings.

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